Companies are increasingly making big data investments. However, many are confronted with a problem as they attempt to get started. No one knows exactly what it means to invest heavily. Big data is an easy topic to discuss and even easier to get excited about. Many organizations are finding that they don’t know how to make the insane success stories they’ve heard from other places into reality.
Google was the provider of many of the most powerful and versatile big data processing tools, applications, and utilities, so a lot of the responsibility for explaining them fell upon them. Google created the Google Professional Data Engineer certification in order to ensure that companies and organizations could hire someone who is familiar with big data and how to make it happen.
The Google Professional Data Engineer certification is for executives and managers who need big data. and you can reply, “You mean we should start with an Extract-Transform-Load pipeline to bring together all our data sources to the same warehouse.”
What is the Google Professional Data Engineer (GPE)?
Google provides and maintains the IT industry certification, the Google Professional Data Engineer. The Google Professional Data Engineer certification is for IT professionals who have demonstrated a broad understanding of data processing topics and an in-depth knowledge of the tools and utilities available through Google Cloud.
Companies and organizations looking to get into big data can have someone on staff who is a Google Professional Data Engineer. Once you have it, you are equipped and trained to make the right decisions about data processing, storage and analysis.
It’s not an easy certification. Earning it means that you not only understand the cloud-based data processing and analysis tools, but also how to manage their operations once they’re up.
The Google Professional Data Engineer certification, which is a one-stop shop for advanced data utility and application knowledge, is simply a Google Professional Data Engineer certification. It requires passing one exam as a Google Professional Data Engineer to earn it.
What are the objectives of the Google Professional Data Engineer Exam?
Only one exam is required for the Google Professional Data Engineer. It will take you two hours to complete and has 60 questions. These multiple choice and multiple response questions are divided into four sections.
Section 1: Designing data processing systems
Section 2: Building and operating data processing systems
Section 3: Operationalizing machine-learning models
Section 4: Ensuring solution quality

It should be obvious from the exam objectives for the Google Professional Data Engineer that the exam is a practical exam of your ability to plan, implement, operate, and maintain all the tools and utilities needed for data processing and analysis in cloud computing. Google Professional Data Engineer is not just about answering questions. It’s also about showing your proficiency in using and implementing these tools.
What is the cost of the Google Professional Data Engineer Exam?
The 2-hour Google Professional Data Engineer exam will cost $200 USD. The exam can be taken in person or proctored online at a time that suits you. You don’t need to be a member or apply to take the exam, unlike professional certifications.
You might consider including the cost for preparation or training in the cost of your ea.